In: Operations Management
Wayne Schuller managed a warehouse in Minnetonka,
Minnesota. His major concern was the number of workers to assign to
his single unloading dock. After he began contracting with motor
carriers for deliveries, he found that they were assessing him
stiff penalties if their trucks had to wait to be unloaded. Wayne
started adding larger crews at the unloading dock, but often
they seemed idle
because there were no trucks to unload. Wayne recalled from college
that queueing theory might be applicable to such a problem.
The theory of queueing is an analysis of the probabilities
associated with waiting in line, assuming that orders, customers,
and so on arrive in some pattern (often a random pattern) to stand
in line. A common situation is that on the average a facility may
have excess capacity, but often it is more than full, with a
backlog of work to be done. Often, this backlog has costs
associated with it, including penalties to be paid or customers who
walk away rather than wait. If a firm expands its capacity to
reduce waiting times, then its costs go up and must be paid even
when the facility is idle. Queueing theory is used to find the best
level of capacity, the one that minimizes the costs of providing a
service and the costs of those waiting to use the service.
After some further research specific to his firm, Wayne determined
the following facts:
1. Trucks arrive randomly at the average rate of four per hour,
with a deviation of plus or minus one.
2. A team of two warehouse workers can unload trucks at the rate of
five per hour, or one every 12 minutes.
3. A team of three warehouse workers can unload trucks at the rate
of eight per hour, or one every 7.5 minutes.
4. A team of four warehouse workers can unload trucks at the rate
of 10 per hour, or one every 6 minutes.
5. A team of five warehouse workers can unload trucks at the rate
of 11 per hour, or one every 4.45 minutes.
6. The unloading times given in the preceding items (1-5) are
average figures.
7. Each warehouse worker receives $14 per hour, must be paid for an
entire shift, and-because of union work rules-cannot be assigned to
other tasks within the warehouse.
8. Because of its contract with the carriers, the Minnetonka
warehouse must pay the motor carriers that own idle trucks at the
rate of $60 per hour while the trucks stand idle, waiting to be
unloaded.
Use a software package that enables you to perform queueing
operations. Note that the variable defined as number of servers (#
servers) denotes number of teams of workers and accompanying
equipment working as a complete server. In the situation described,
the number of teams or servers is always 1, although the number
varies in terms of costs and output.
**For each of the four work team sizes, calculate the expected
number of trucks waiting in the queue to be unloaded.
Given:
Truck arrival rate = 4 /hr
Service rate:
- Labour cost = 14 / hr
- Truck idle time cost = 60 / hr
Here we are going to design a queuing model in excel
The results are
TOTAL COST = LABOUR + (PROBABILITY OF IDLE TIME * COST OF IDLE TRUCK)
For 2 labours, TC= 28 + 12= 40
For 3 labour , TC= 42+30 =72
For 4 labour, TC = 56+36 = 92
For 5 labour. TC = 70+38= 108